Hy hereafter,
you will find the code of a file which contains a python function which is very usefull for finding the best distribution from a numerical sample.
Its use is :

> FindBestContinuousDistribution(NS) # where NS is a NumericalSample

This function returns the continuous distribution in OT which best fits the emprirical distribution of the NumericalSample NS. Some distributions may have been not tested due to the nature of the data (distributions which requires positive value for example) or due to the estimation of the parameters which could fail (see the warnings which are printed during execution)

ps: I have not find an easy way to share a file, that's why i have made a copy of the whole file ...